Spark Email

Delegation only works if you set the terms
Spark CLI gives you four access levels — Off, Read, Triage, Send — and the limit lives in Spark itself, not the agent's judgment.
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Now in Spark: Agents that follow through Your AI agent can now do more than draft replies. With Send access in Spark CLI, it can send emails and manage your calendar within permissions you control, helping you delegate routine work while staying in charge.

What does Spark CLI actually do day to day? Easier to show than explain.
Four prompts our team uses constantly — from "what's still waiting on me from the team this week" to "check who's waiting a follow-up and draft it, send after my review." The agent gathers context and drafts; you stay in control of what goes out.
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12 open threads with potential partners, 4 intros you still owe, and a follow-up you've meant to send since Tuesday — sound familiar?
Most email apps are built to get you to zero, but people running things aren't trying to get there; they're keeping several important things moving at once💌

Four Spark CLI users, four different jobs, one thing in common: less time spent doing what email should've handled on its own.
Swipe through to hear it from them👉🏻

AI meeting notes have gotten good — they capture every decision and action item. But the bottleneck moved. Now the notes sit in one tool while the follow-up lives in your inbox and calendar, and things still slip between the two.
Our new piece breaks down three ways an AI agent connected to Spark can close that gap: reading the transcript, pulling the real action items, and drafting the follow-ups so they reach the right people.
Read it here:

Beyond AI meeting notes: closing the meeting-to-action gap AI meeting notes capture what was said, but the real bottleneck is what happens next. Learn three AI agent workflows that connect meetings to ex*****on.